Professor, Ecole Normale Supérieure de Lyon
Internet of Things Laboratory: A vanilla flavour
A large-scale infrastructure for testing the Future Internet of Things:
• A “smart house” that regulates ambient temperature according to outside weather and the preferences of its inhabitants?
• Intruders detected by sensors that then send robot monitors to investigate?
• A burning building that automatically dispatches a floor plan to firefighting teams, showing the real-time location of safety equipment and people at risk?
These may sound like science fiction but they could become reality sooner than you think. Our society is moving towards the “Internet of Things”, a world in which most communication over networks will be between objects rather than people. Many of these objects will be small, low-power, portable devices that are embarked on larger objects, such as vehicles, furniture, industrial machinery, or articles of clothing. We call these “embedded communicating objects”.
Through its IoT-LAB testbeds, the FIT project will provide a very large-scale infrastructure suitable for testing heterogeneous embedded communicating objects of all sorts. The five Federated IoT-LAB testbeds developed within FIT will encompass the following test environments:
• wireless networks
• mobile networks
• sensor and actuator networks (SANETs)
• home gateways and access networks
• low-power and lossy networks (LLNs)
The testbeds will include a fleet of mobile robots which can be deployed to simulate a wide variety of different scenarios. The movement of each robot is controllable, and several smart objects can be embedded on each to simulate a Body Area Network. These mobile objects may act as an ad hoc network or use the fixed infrastructure that surrounds them to communicate via a real or emulated network. With full control of the network nodes and an access to the gateways these nodes are connected to, researchers are able to monitor their energy consumption as well as network-related metrics such as the end-to-end delay, throughput or overhead.
Eric Fleury is a full professor (first class professor) at Ecole Normale Supérieure de Lyon (ENS de Lyon). ENS de Lyon is one of the most selective institutions in the higher education French system. ENS de Lyon is associated with a strong French tradition of excellence and public service. Eric Fleury works in ENS Lyon Computer Science Lab. Since his PhD in 1996, Eric Fleury has conducted research activities in three main directions. He first contributed to parallel algorithms, distributed memory architectures, wormhole communications and routing, obtaining results on general theory for deadlock free routing. His activities have been gradually moving from networking protocols & distributed algorithms to Wireless Sensor Networks as a way to measure and collect real data of large scale in situ networks. His activities concern also the study and analysis of dynamic networks. Eric Fleury works in particular on social networks, community detection and spreading phenomena. Recently he successfully launched Fellows, an experiment on Facebook to evaluate a novel graph metric of the cohesion of a community. In this specific context of real networks and application of Information Science and Technologies (like in the MOSAR project and FIT project), his scientific activities aim at tackle challenges posed by societal issues.